Deep Sprite-based Image Models: An Analysis
While foundation models drive steady progress in image segmentation and diffusion algorithms compose always more realistic images, the seemingly simple problem of identifying recurrent patterns in a collection of images remains very much open. In this paper, we focus on sprite-based image decomposition models, which have shown some promise for clustering and image decomposition and are appealing because of their high interpretability. These models come in different flavors, need to be tailored to specific datasets, and struggle to scale to images with many objects. We dive into the details of their design, identify their core components, and perform an extensive analysis on clustering ben...
| Authors | Zeynep Sonat Baltacı, Romain Loiseau, Mathieu Aubry |
|---|---|
| Primary category | cs.CV |
| Published | 21 April 2026 |
| Last updated at source | 9 July 2026 |
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